基于GNSS agent间距离估计的协同定位方法

Alex Minetto, C. Cristodaro, F. Dovis
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引用次数: 8

摘要

全球定位卫星系统(GNSS)在恶劣环境下的可用性有限和服务缺乏连续性是依赖于位置的智能交通系统(ITS)应用的关键问题。这项工作是在车辆到一切(V2X)通信框架内开发的,目的是在GNSS无法用于网络中的某个子集时,保证属于网络的所有代理的持续位置可用性。利用共享卫星的同时观测来估计接收器实时连接网络中的非视距代理间距离。实验证明了一种基于标准GNSS测量和线性IAR估计的混合定位算法的有效性。通过自适应迭代算法求解混合位置估计,找到GNSS中断时的接收机位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A collaborative method for positioning based on GNSS inter agent range estimation
The limited availability and the lack of continuity in the service of Global Positioning Satellite Systems (GNSS) in harsh environments is a critical issue for Intelligent Transport Systems (ITS) applications relying on the position. This work is developed within the framework of vehicle-to-everything (V2X) communication, with the aim to guarantee a continuous position availability to all the agents belonging to the network when GNSS is not available for a subset of them. The simultaneous observation of shared satellites is exploited to estimate the Non-Line-Of-Sight Inter-Agent Range within a real-time-connected network of receivers. It is demonstrated the effectiveness of a hybrid localization algorithm based on the the integration of standard GNSS measurements and linearised IAR estimates. The hybrid position estimation is solved through a self-adaptive iterative algorithm to find the position of receivers experiencing GNSS outages.
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